Stay home and stay active? The impact of stay-at-home restrictions on physical activity routines in the UK during the COVID-19 pandemic

Prevalence of Obesity and Lifestyle Risk Factors Following Two Years' COVID-19 Related Service Closure at Wellness Center, Primary Health Care

Background

COVID-19 lockdown has affected health behaviors and daily life in unprecedented ways. This study aimed to assess (i) the prevalence of lifestyle behaviors including physical activity, sedentary behavior, sleep, and stress levels during the COVID confinement, and (ii) evaluate anthropometric measures, body composition, cardiopulmonary and muscular endurance among regular Wellness Center attendees, following two years' service closure.

Methods

A cross-sectional study was undertaken between 1st June 2022 and 30th January 2023. A structured validated questionnaire was utilized to retrospectively collect data related to the closure period, and quantitative objective measurements were obtained at the time of data collection.

Results

A total of 100 adults with a mean age of 49.6 ± 10.5 years, mostly female (80%) and Qatari (76%) participated in the study. The results revealed high rates of low physical activity (47%), sedentary behavior (62%), poor sleep (58%), and stress levels (61% moderate and 5% high). Results also confirmed high prevalence of obesity (57%) marked by BMI and body circumferences, fat mass (34 ± 10.5 kg)/fat percentage (42.7 ± 7.2%) and muscle mass (20.6 ± 5.4 kg)/muscle percentage (25.4 ± 3.9%) above and below normal levels, respectively. The average cardiopulmonary (mean VO2 MAX was 15.5 ± 11 mL O2kg-1min-1) and muscular endurance (pushups per min 19 ± 8.9, L-sit 46 ± 35 secs, plank 42.7 ± 27.8 secs) were distinctly below normal levels for age and sex.

Conclusion

The findings indicate that physically active adults have experienced adverse lifestyle behaviors during the COVID-19 lockdown. Obesity, unfavorable body composition, low cardiopulmonary and muscular endurance were evident. More emphasis should be put on the development of targeted intervention strategies to promote positive lifestyle behaviors during any potential future crises.

Trajectories of physical activity during COVID-19: A longitudinal analysis of UK young adults

Research has demonstrated a disproportionate reduction in the moderate-vigorous physical activity (MVPA) of young UK adults during the initial months of COVID-19. However, previous research has not examined the trajectory of MVPA for this demographic over subsequent phases of the pandemic. The present study investigated the trajectory of MVPA from April 2020 to January 2021 in young UK adults. Data were drawn from 18-29-year-old participants of the Understanding Society COVID-19 Survey (212 males, 542 females). Weekly MVPA was self-reported at three time points (April and September 2020; January 2021) using the International Physical Activity Questionnaire. After controlling for significant covariates, growth curve modelling revealed no variation in weekly MVPA, which remained higher than the UK Physical Activity Guidelines. Female gender; Asian, Black and Mixed ethnicity; lower income,; living with a partner; and no access to a private garden or other outdoor space were associated with lower MVPA in April 2020. Gender, however, was a significant moderator of the trajectory. Males' MVPA increased between April 2020 to August 2020, followed by a sharp decline; whereas females showed a steady rate of decline from April 2020 to January 2021. Despite the recurrent lockdowns, this study shows that young UK adults, on average, continued to engage in MVPA, above the recommendated amount. Nevertheless, significant variation associated with gender, ethnicity and income highlights the importance of providing accessible spaces for young adults to exercise, especially those with limited access to private gardens.

Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity

Early detection of highly infectious respiratory diseases, such as COVID-19, can help curb their transmission. Consequently, there is demand for easy-to-use population-based screening tools, such as mobile health applications. Here, we describe a proof-of-concept development of a machine learning classifier for the prediction of a symptomatic respiratory disease, such as COVID-19, using smartphone-collected vital sign measurements. The Fenland App study followed 2199 UK participants that provided measurements of blood oxygen saturation, body temperature, and resting heart rate. Total of 77 positive and 6339 negative SARS-CoV-2 PCR tests were recorded. An optimal classifier to identify these positive cases was selected using an automated hyperparameter optimisation. The optimised model achieved an ROC AUC of 0.695 ± 0.045. The data collection window for determining each participant's vital sign baseline was increased from 4 to 8 or 12 weeks with no significant difference in model performance (F(2) = 0.80, p = 0.472). We demonstrate that 4 weeks of intermittently collected vital sign measurements could be used to predict SARS-CoV-2 PCR positivity, with applicability to other diseases causing similar vital sign changes. This is the first example of an accessible, smartphone-based remote monitoring tool deployable in a public health setting to screen for potential infections.

Physical activity and sitting time changes in response to the COVID-19 lockdown in England

To reduce the spread of the novel coronavirus disease 2019 (COVID-19), national governments implemented measures to limit contact between citizens. This study evaluated changes in physical activity and sitting in response to the first COVID-19 lockdown in England and factors associated with these changes. A cross-sectional online survey-based study collected data from 818 adults between 29 April and 13 May 2020. Participants self-reported demographic information, physical activity and sitting for a ‘typical’ week before and during lockdown. Participants were grouped into low, moderate and high physical activity, and low and high (≥8 hours/day) sitting. Paired samples t-tests compared physical activity (MET-min/week) before and during lockdown. Pearson’s Chi-squared evaluated the proportion of participants in the physical activity and sitting categories. Logistic regression explored associations of demographic and behavioural factors with physical activity and sitting during lockdown. Walking and total physical activity significantly increased during lockdown by 241 (95% confidence interval [CI]: 176, 304) MET-min/week and 302 (CI: 155, 457) MET-min/week, respectively (P < 0.001). There was a 4% decrease in participants engaging in low physical activity and a 4% increase in those engaging in high physical activity from before to during lockdown (P < 0.001). The proportion engaging in high sitting increased from 29% to 41% during lockdown (P < 0.001). Lower education level (odds ratio [OR] = 1.65, P = 0.045) and higher BMI (OR = 1.05, P = 0.020) were associated with increased odds of low physical activity during lockdown, whereas non-White ethnicity (OR = 0.24, P = 0.001) was associated with reduced odds. Younger age was associated with increased odds of high sitting (OR = 2.28, P = 0.008). These findings suggest that physical activity and sitting both increased during lockdown. Demographic and behavioural factors associated with low physical activity and high sitting have been identified that could inform intervention strategies during situations of home confinement.